Evidence map›Paper›PMID 34587359›Full record

ArticleCancer medicine2021

Impact of angiogenesis inhibitor eligibility on the prognosis of patients with non-small cell lung cancer harboring EGFR mutation.

Hiroaki Kodama, Hirotsugu Kenmotsu, Takanori Kawabata, Akifumi Notsu, Michitoshi Yabe, Naoya Nishioka, Eriko Miyawaki, Taichi Miyawaki, Nobuaki Mamesaya, Haruki Kobayashi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Hiroaki KodamaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0002-0953-3183
Hirotsugu KenmotsuDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0003-0590-9259
Takanori KawabataDepartment of Biostatistics, Clinical Research Center, Shizuoka Cancer Center, Shizuoka, Japan.
Akifumi NotsuDepartment of Biostatistics, Clinical Research Center, Shizuoka Cancer Center, Shizuoka, Japan.
Michitoshi YabeDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Naoya NishiokaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Eriko MiyawakiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Taichi MiyawakiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Nobuaki MamesayaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Haruki KobayashiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0002-3386-8063
Shota OmoriDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0003-1407-9779
Kazushige WakudaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0002-6369-2388
Akira OnoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0001-5705-9423
Tateaki NaitoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0003-4047-2929
Haruyasu MurakamiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0003-2416-546X
Toshiaki TakahashiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Shizuoka Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are currently the primary treatment option for patients with EGFR-mutant non-small cell lung cancer (NSCLC). However, the effect of EGFR-TKIs are eventually weakened due to resistance, and there is also a differential efficacy based on EGFR mutation subtypes. The combination of angiogenesis inhibitor (AI) with EGFR-TKI has shown better efficacy than EGFR-TKI monotherapy, regardless of the mutation subtypes. Nevertheless, the effect of AI eligibility on overall survival (OS) and progression-free survival (PFS) remains to be elucidated. Thus, we assessed this impact on patients with NSCLC harboring EGFR mutation.

methodsIn this study, the data for 450 patients with EGFR-mutant NSCLC, who were treated with EGFR-TKI monotherapy, were retrospectively analyzed for AI eligibility. The patients were categorized into AI-eligible (AI fit) and ineligible groups (AI unfit).

resultsThe median PFS of the AI fit group was 12.9 months, compared to 9.6 months in the unfit group (p = 0.007), and OS was also significantly longer in the AI fit group (median OS = 33.0 months) compared to that in the unfit group (18.5 months, p < 0.001). Multivariate analysis indicated that AI ineligibility was associated with shorter PFS and poor prognosis. Also, in the AI fit group, there was no significant difference in the PFS between EGFR L858R mutation and EGFR exon 19 deletion (median PFS = 11.5 months vs. 13.8 months; p = 0.17).

conclusionsFrom our study, AI eligibility resulted in longer OS and PFS, and also had different effects on patients with EGFR L858R and exon 19 deletion. Since this selection bias may have affected previous clinical trial data on the efficacy of AI combination therapy, their results should be carefully considered henceforth.

Indexed as

AgedAngiogenesis InhibitorsAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleGene DeletionHumansLung NeoplasmsMalePrognosisProgression-Free SurvivalProtein Kinase InhibitorsRetrospective StudiesAngiogenesis InhibitorsEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitorsangiogenesis inhibitorepidermal growth factor tyrosine kinase inhibitornon-small cell lung cancervascular endothelial growth factor

Identifiers

PMID34587359
PMCPMC8559472
OpenAlexW3204573909

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.